Using Similarity Theory to Parameterize Mesoscale Heat Fluxes Generated by Subgrid-Scale Landscape Discontinuities in GCMs
Similarity theory was used to develop a parameterization of mesoscale heat fluxes induced by landscape discontinuities for large-scale atmospheric models (e.g., general circulation models). For this purpose, Buckingham Pi theory, a systematic method for performing dimensional analysis, was used to d...
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| Veröffentlicht in: | Journal of Climate 1995-04, Vol.8 (4), p.932-951 |
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| container_title | Journal of Climate |
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| creator | Lynn, Barry H. Abramopoulos, Frank Avissar, Roni |
| description | Similarity theory was used to develop a parameterization of mesoscale heat fluxes induced by landscape discontinuities for large-scale atmospheric models (e.g., general circulation models). For this purpose, Buckingham Pi theory, a systematic method for performing dimensional analysis, was used to derive a set of dimensionless groups, which describes the large-scale atmospheric background conditions, the spatial variability of surface sensible heat flux, and the characteristic structure of the landscape. These dimensionless groups were used to calculate the coefficients of a fourth-order Chebyshev polynomial, which represents the vertical profiles of dimensionless mesoscale heat fluxes obtained for a broad range of large-scale atmospheric conditions and different landscapes. The numerous three-dimensional numerical experiments performed to evaluate this similarity relationship suggest that the parameterization is quite robust. |
| doi_str_mv | 10.1175/1520-0442(1995)008<0932:USTTPM>2.0.CO;2 |
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For this purpose, Buckingham Pi theory, a systematic method for performing dimensional analysis, was used to derive a set of dimensionless groups, which describes the large-scale atmospheric background conditions, the spatial variability of surface sensible heat flux, and the characteristic structure of the landscape. These dimensionless groups were used to calculate the coefficients of a fourth-order Chebyshev polynomial, which represents the vertical profiles of dimensionless mesoscale heat fluxes obtained for a broad range of large-scale atmospheric conditions and different landscapes. The numerous three-dimensional numerical experiments performed to evaluate this similarity relationship suggest that the parameterization is quite robust.</description><identifier>ISSN: 0894-8755</identifier><identifier>EISSN: 1520-0442</identifier><identifier>DOI: 10.1175/1520-0442(1995)008<0932:USTTPM>2.0.CO;2</identifier><language>eng</language><publisher>Boston, MA: American Meteorological Society</publisher><subject>AIR-BIOSPHERE INTERACTIONS ; Atmospheric circulation ; Atmospheric models ; Atmospherics ; Climate models ; Datasets ; Earth, ocean, space ; ENVIRONMENTAL SCIENCES ; Exact sciences and technology ; External geophysics ; GENERAL CIRCULATION MODELS ; Geophysics. Techniques, methods, instrumentation and models ; HEAT FLUX ; Latent heat ; MATHEMATICS, COMPUTERS, INFORMATION SCIENCE, MANAGEMENT, LAW, MISCELLANEOUS ; Mosaic ; Parameterization ; PARAMETRIC ANALYSIS ; Polynomials ; TOPOGRAPHY</subject><ispartof>Journal of Climate, 1995-04, Vol.8 (4), p.932-951</ispartof><rights>Copyright 1995, American Meteorological Society (AMS)</rights><rights>1995 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/26199912$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/26199912$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,776,780,799,881,3668,27901,27902,57992,58225</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=3527317$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.osti.gov/biblio/81173$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Lynn, Barry H.</creatorcontrib><creatorcontrib>Abramopoulos, Frank</creatorcontrib><creatorcontrib>Avissar, Roni</creatorcontrib><title>Using Similarity Theory to Parameterize Mesoscale Heat Fluxes Generated by Subgrid-Scale Landscape Discontinuities in GCMs</title><title>Journal of Climate</title><description>Similarity theory was used to develop a parameterization of mesoscale heat fluxes induced by landscape discontinuities for large-scale atmospheric models (e.g., general circulation models). For this purpose, Buckingham Pi theory, a systematic method for performing dimensional analysis, was used to derive a set of dimensionless groups, which describes the large-scale atmospheric background conditions, the spatial variability of surface sensible heat flux, and the characteristic structure of the landscape. These dimensionless groups were used to calculate the coefficients of a fourth-order Chebyshev polynomial, which represents the vertical profiles of dimensionless mesoscale heat fluxes obtained for a broad range of large-scale atmospheric conditions and different landscapes. The numerous three-dimensional numerical experiments performed to evaluate this similarity relationship suggest that the parameterization is quite robust.</description><subject>AIR-BIOSPHERE INTERACTIONS</subject><subject>Atmospheric circulation</subject><subject>Atmospheric models</subject><subject>Atmospherics</subject><subject>Climate models</subject><subject>Datasets</subject><subject>Earth, ocean, space</subject><subject>ENVIRONMENTAL SCIENCES</subject><subject>Exact sciences and technology</subject><subject>External geophysics</subject><subject>GENERAL CIRCULATION MODELS</subject><subject>Geophysics. Techniques, methods, instrumentation and models</subject><subject>HEAT FLUX</subject><subject>Latent heat</subject><subject>MATHEMATICS, COMPUTERS, INFORMATION SCIENCE, MANAGEMENT, LAW, MISCELLANEOUS</subject><subject>Mosaic</subject><subject>Parameterization</subject><subject>PARAMETRIC ANALYSIS</subject><subject>Polynomials</subject><subject>TOPOGRAPHY</subject><issn>0894-8755</issn><issn>1520-0442</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1995</creationdate><recordtype>article</recordtype><recordid>eNo9kV-L1DAUxYsoOK5-BCEPIvrQ2fxpmkRFkOrOCjPMwsw8hzS93c3SacckBWc_valdhjzch_zuuYdzsuya4CUhgl8TTnGOi4J-IkrxzxjLb1gx-uWw2-_vNt_pEi-r7Vf6IltcyJfZAktV5FJw_jp7E8IjxoSWGC-yp0Nw_T3auaPrjHfxjPYPMPgzigO6M94cIYJ3T4A2EIZgTQfoFkxEN934FwJaQQ_eRGhQfUa7sb73rsl3_7G16Zu0cAL00wU79NH1o4suLbkerapNeJu9ak0X4N3zvMoON7_21W2-3q5-Vz_WuWVSxbwsuS14y03TKCCkYZLXzEhqS1wrWqRnLMFYFIy1CawVqVth65ZZC0KWgl1laNYdQnQ6WBfBPiRDPdioZcqUJeTjjJz88GeEEPUxeYauMz0MY9BEEiFoWSRwNYPWDyF4aPXJu6PxZ02wnurRU-h6Cl1P9ehUj57q0XM9mmqsq62mSenD80kzxdp601sXLnKMU8HIZP79jD2GOPjLNy2TuiKU_QPA_Z4d</recordid><startdate>19950401</startdate><enddate>19950401</enddate><creator>Lynn, Barry H.</creator><creator>Abramopoulos, Frank</creator><creator>Avissar, Roni</creator><general>American Meteorological Society</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>KL.</scope><scope>OTOTI</scope></search><sort><creationdate>19950401</creationdate><title>Using Similarity Theory to Parameterize Mesoscale Heat Fluxes Generated by Subgrid-Scale Landscape Discontinuities in GCMs</title><author>Lynn, Barry H. ; Abramopoulos, Frank ; Avissar, Roni</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c389t-665c45f5add9e11d385b3a82c60b924242ac1007433fc45b91bf7cbf3cce78673</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1995</creationdate><topic>AIR-BIOSPHERE INTERACTIONS</topic><topic>Atmospheric circulation</topic><topic>Atmospheric models</topic><topic>Atmospherics</topic><topic>Climate models</topic><topic>Datasets</topic><topic>Earth, ocean, space</topic><topic>ENVIRONMENTAL SCIENCES</topic><topic>Exact sciences and technology</topic><topic>External geophysics</topic><topic>GENERAL CIRCULATION MODELS</topic><topic>Geophysics. Techniques, methods, instrumentation and models</topic><topic>HEAT FLUX</topic><topic>Latent heat</topic><topic>MATHEMATICS, COMPUTERS, INFORMATION SCIENCE, MANAGEMENT, LAW, MISCELLANEOUS</topic><topic>Mosaic</topic><topic>Parameterization</topic><topic>PARAMETRIC ANALYSIS</topic><topic>Polynomials</topic><topic>TOPOGRAPHY</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lynn, Barry H.</creatorcontrib><creatorcontrib>Abramopoulos, Frank</creatorcontrib><creatorcontrib>Avissar, Roni</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>OSTI.GOV</collection><jtitle>Journal of Climate</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lynn, Barry H.</au><au>Abramopoulos, Frank</au><au>Avissar, Roni</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Using Similarity Theory to Parameterize Mesoscale Heat Fluxes Generated by Subgrid-Scale Landscape Discontinuities in GCMs</atitle><jtitle>Journal of Climate</jtitle><date>1995-04-01</date><risdate>1995</risdate><volume>8</volume><issue>4</issue><spage>932</spage><epage>951</epage><pages>932-951</pages><issn>0894-8755</issn><eissn>1520-0442</eissn><abstract>Similarity theory was used to develop a parameterization of mesoscale heat fluxes induced by landscape discontinuities for large-scale atmospheric models (e.g., general circulation models). For this purpose, Buckingham Pi theory, a systematic method for performing dimensional analysis, was used to derive a set of dimensionless groups, which describes the large-scale atmospheric background conditions, the spatial variability of surface sensible heat flux, and the characteristic structure of the landscape. These dimensionless groups were used to calculate the coefficients of a fourth-order Chebyshev polynomial, which represents the vertical profiles of dimensionless mesoscale heat fluxes obtained for a broad range of large-scale atmospheric conditions and different landscapes. The numerous three-dimensional numerical experiments performed to evaluate this similarity relationship suggest that the parameterization is quite robust.</abstract><cop>Boston, MA</cop><pub>American Meteorological Society</pub><doi>10.1175/1520-0442(1995)008<0932:USTTPM>2.0.CO;2</doi><tpages>20</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Journal of Climate, 1995-04, Vol.8 (4), p.932-951 |
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| source | JSTOR Archive Collection A-Z Listing; American Meteorological Society; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | AIR-BIOSPHERE INTERACTIONS Atmospheric circulation Atmospheric models Atmospherics Climate models Datasets Earth, ocean, space ENVIRONMENTAL SCIENCES Exact sciences and technology External geophysics GENERAL CIRCULATION MODELS Geophysics. Techniques, methods, instrumentation and models HEAT FLUX Latent heat MATHEMATICS, COMPUTERS, INFORMATION SCIENCE, MANAGEMENT, LAW, MISCELLANEOUS Mosaic Parameterization PARAMETRIC ANALYSIS Polynomials TOPOGRAPHY |
| title | Using Similarity Theory to Parameterize Mesoscale Heat Fluxes Generated by Subgrid-Scale Landscape Discontinuities in GCMs |
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